Synchronization study allows a better understanding of the exchange of information among systems. In this work, we study experimental data recorded from a set of Rössler-like chaotic electronic oscillators arranged in a complex network, where the interactions between the oscillators are given in terms of a connectivity matrix, and their intensity is controlled by a global coupling parameter. We use the zero and one persistent homology groups to characterize the point clouds obtained from the signals recorded in pairs of oscillators. We show that the normalized persistent entropy ( ) allows us to characterize the effective coupling between pairs of oscillators because it tends to increase with the coupling strength and to decrease with the distance between the oscillators. We also observed that pairs of oscillators that have similar degrees and are nearest neighbors tend to have higher values than pairs with different degrees. However, large variability is found in the values. Comparing the behavior with that of the phase-locking value ( , commonly used to evaluate the synchronization of phase oscillators), we find that for large enough coupling, only displays a monotonic increase, while shows a richer behavior that captures variations in the behavior of the oscillators. This is due to the fact that only captures coupling-induced phase changes, while also captures amplitude changes. Moreover, when we consider the same network but with Kuramoto phase oscillators, we also find that captures the transition to synchronization (as it increases with the coupling strength), and it also decreases with the distance between the oscillators. Therefore, we propose as a data analysis technique to try to differentiate pairs of oscillators that have strong effective coupling because they are first or near neighbors, from those that have weaker coupling because they are distant neighbors.
Topological data analysis of the synchronization of a network of Rössler chaotic electronic oscillators
A. Zabaleta-Ortega, C. Masoller, L. Guzmán-Vargas; Topological data analysis of the synchronization of a network of Rössler chaotic electronic oscillators. Chaos 1 November 2023; 33 (11): 113110. https://doi.org/10.1063/5.0167523
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